reducing enteric methane from ruminant livestock - a …€¦ · reducing enteric methane emissions...
TRANSCRIPT
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REDUCING ENTERIC METHANE FROM RUMINANTLIVESTOCK - A SNAPSHOT OF RESEARCH BEING DONE BYDIFFERENT ORGANISATIONS AROUND THE WORLD
CHRIS GRAINGER - 25 JUNE 2010
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In collaboration with:
• Teagasc-Moorepark - Matthew Deighton• Teagsac-Grange - Padraig O'Kiely• AFBI Hillsborough - Tianhai Yan• UCD - Tommy Boland• AgResearch NZ - Simone Hoskin• DPI Ellinbank Victoria - Peter Moate
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Reducing enteric methane emissionsfrom ruminant livestock
Matthew Deighton
Teagasc, Moorepark Dairy Production ResearchCentre, Fermoy, Co. Cork
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Current research programmeMoorepark
Methane emission measurements in large scalestudies comparing:
• different dairy cattle breeds• different ryegrass cultivars• different supplementation strategies
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Current research programmeMoorepark
Variation in methane emission measurementsfrom large scale studies related to changes inrumen microbial population
LCA modeling to assess total GHG emissionsfrom pastoral systems
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Current research programmeMoorepark
Preliminary results show methane reduced by:
• 10% by maintaining low herbage mass andhigh leaf:stem ratio
• 11% by cows grazing grass compared withTMR diet
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Ongoing research programmeOngoing research programme
Padraig O’Kiely
Teagasc, Grange Beef Research Centre, Dunsany, Co. Meath
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Evaluate (in vitro) methane production for major forages
• grasses – species, varieties, management systems, season of year
• legumes – species, varieties, season of year
• grass silages differing in fermentation characteristics
•maize silages differing in maturity at harvest
• whole-crop cereals differing in grain:straw(+chaff)
• contrasting ratios of grass silage to maize (or whole-crop cereal)silage
• cereal grains conserved by a range of technologies
• energy/protein-rich feedsUNDERTAKE THE ABOVE USING TOTAL GAS PRODUCTION ANDRUSITEC SYSTEMS
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Evaluate (in vitro) impacts of feed additives on methaneproduction
• biological and chemical agents, and combinationsof these.
UNDERTAKE THE ABOVE USING TOTAL GASPRODUCTION AND RUSITEC SYSTEMS
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Beef production studiesBeef production studies (using SF(using SF66 as marker)as marker)
-Methane production from maize silages by cattle-Maize silages differing in maturity at harvest versus ad libitum concentrates
-Methane production from whole-crop cereal silages by cattle- Whole-crop wheat silages (differing in grain:straw), grass silage and adlibitum concentrates
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Model impacts on national beef herdUsing data from the preceding animal productionstudies, model the impacts of changing the animalsdiet on enteric methane production, beef productionand profits (per animal, per kg carcass gain and perhectare)
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Reducing Animal Derived Greenhouseand Transboundary Gas Emissions
Tommy Boland, Karina Pierce and Bridget Lynch
School of Agriculture, Food Science and VeterinaryMedicine
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What are we doing?
• The potential to reduce CH4/GHG emissionsthrough manipulation of– Forage type and quality– Dietary additives– Animal genetics– Production system
• Better understand the relationship between dietand rumen microbial population
• Model impacts of changes in production systemson GHG emissions
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How are we doing it?
• In vitro screening of concentrate ingredients,dietary additives and novel compounds
• In vivo testing of forage type and quality, plantoils, organic acids, fish oil and protected aa
• Impact of ‘Residual Feed Intake’ on
methane emissions
• Microbial population analysis
• Metagenomic analysis of the rumenmicrobiome
• LCA and economic modelling
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Facilities
SF6 indoor and outdoor
Gas exchange chambers
Fistulated animals and metabolismhouse
Artificial rumen system
Infield measurementfollowing land spreading
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What have we achieved?
• Increasing sward quality reduces CH4 output perkg LWG
• Alternative forages reduce enteric CH4 emissionscompared to grass silage
• Increasing sward quality reduces CH4 output perkg milk and milk solids
• Coconut oil, soya oil, linseed oil and fish oilreduce enteric CH4 emissions
• Soya oil reduces methanogen activity in therumen and rumen ammonia concentration
• Dietary manipulation reduces ammonia emissionsfrom pig slurry
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Where to now?
• Focus on rumen fermentation and microbial
population
• Combine enteric CH4 mitigation with AD
• Control development of rumen microbial
population
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AFBI HillsboroughMethane data – Tianhai Yan
• From 1992, over 900 dairy cows, 130 beef cattle and 50 sheep have beenused in calorimeter measurements to examine effects on methane emissionfrom
— Animal factors• Cattle breed (e.g., dairy cow: Holstein vs. Jersey vs.
Norwegian)• Genetic merit of cows (high vs. medium vs. low yielding)• Stage of lactation (early vs. mid vs. late)• Parity (first vs. second or over)
— Dietary factors• Concentrate proportion (high vs. medium vs. low)• Grass type (fresh grass vs. grass silage vs. dry grass)• Forage type (grass silage vs. maize silage vs. whole crop wheat
silage)• Diet quality (high vs. low protein level; high vs. low ME content)• Dietary additives (oil, fumaric acid, yeasts, etc.)
•All results have been published in a range of refereed scientific journals,scientific conferences and farming press
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•Methane energy output as a proportion of GE intake can be reduced by— increasing milk yield— increasing feed intake (DMI, GEI, DEI and feeding level)— increasing energy utilisation efficiency— decreasing dietary fibre content (NDF, ADF and forage
proportion)— increasing dietary quality (ME, CP and lipid content)
•Dietary manipulation and animal management are effective approaches toreduce methane emissions from dairy cows
•Methane emissions from cattle can be predicted using factors ofanimal (productivity and live weight) and diets (intake and chemicalcomposition)
Mitigation StrategiesConclusions
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Current Research Projects•Stimulus Funding from the Department ofAgriculture and Food (ROI)
• Statistical modelling of GHG and ammoniaemissions from different dairy, beef andsheep production systems in NorthernIreland and UK
— A four year project with research teamsfrom Teagasc and University College of Dublin
— Aims: to examine effects of different dairyproduction systems on methane emissions
— To develop relationships between inputs andoutputs of GHG and ammonia for different dairy,beef and sheep production systems
— To develop national GHG inventory in NIand UK
•Validation of novel technique for measurements of entericmethane emissionswith SAC: (1). Methane gun; (2) electronic methane sensors
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Coming projects from DEFRA
1. Ruminant Genetic Improvement Network (IF0169): selection of low CH4emission cattle and sheep
2. Agricultural GHG Inventory Research Consortia - AC0114 - Improvements to theNational Inventory: Inventory Delivery: Data Mining
3. Agricultural GHG Inventory Research Consortia – AC0115 - Improvements tothe National Inventory: Methane
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Ruminant Nutrition & GreenhouseGas Mitigation Team
Methane emissions researchSimone Hoskin: Team LeaderCesar Pinares: Senior ScientistStefan Muetzel: Senior ScientistDavid Pacheco: Senior ScientistSunny Sun, Cibele Longo, Natasha Swainson: PostdocsKirsty Hammond: PhD’sGerman Molano: Research Associate
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IINVENTORY CH4 RESEARCH
Current focus on confirming previous findings with SF6technique using gold-standard calorimetry (sheep 24, cattle 4)
Effect of physiological state on Ym: sheepRelationship between Ym & DMI, independently ofphysiological state– Contrasting pasture quality & DMI & Ym
Effect of age on Ym: sheep, cattleRegional differences in dairy production: modelling of regionalproduction levels & DMI for use in National model for DMI & Ym
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CH4 MITIGATION
(Calorimetry, SF6 & In-vitro (batch & continuous culture))
Exploiting animal to animal variation: sheep & dairy cattleMethane markers, genes, heritability
Pasture & forage chemical compositionAlternative forage species: herbs, brassicas, legumesSupplements to forage: palm kernel/ maize silage for dairyDigestive processes, digesta kinetics
Microalgae, monensin, coconut oil/copraMethane knockdown modelling, CH4 vs H2, microbiologyRuminant species differences: sheep/cattle/deer
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CH4 MITIGATION
SF6 (various equipment/ method development) vs calorimetry
Rumen microbiology (large, various programmes)Methanogen ID, culture, activity, interaction with othermicrobes (Graeme Attwood, Peter Janssen)Gene targets for inhibition (Ron Ronimus)Vaccine development (Bryce Buddle)
Farm systems modelling (includes all GHG, carbon)
Dairy, sheep & beef, deer (many scientists from all overAgResearch contributing, Greg Lambert)
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Recent and Future Enteric MethaneAbatement Research
DPI Ellinbank, Victoria, AustraliaDr Peter Moate and Mr. Richard Williams
Insert appropriate picture here
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BackgroundResearch at Ellinbank, funded by the Australian Federal Government and Victorian
State Government, aims to identify practical nutritional and management strategies forreducing enteric methane emissions from dairy cows consistent with maintainingprofitable and viable dairy production
StrategyUse in vitro technique to screen and evaluate potential feedstuffs
• Tannins: pasture species containing tannin and grape mark,• Fodder crops: turnips, chicory, rape• High-fat by-products: hominy, cold pressed canola, brewers grains, cottonseed meal,
almond hulls,• Omega-3 fatty acids: DHA and EPA
Evaluate promising feedstuffs in vivo either by SF6 or chamber technique• Feeds evaluated: cottonseed meal, hominy, cold pressed canola, brewers
grains, tannin, algae meal (DHA-Gold)Future research:
• Evaluate combination of fat and tannin• Investigate high and low methane producing cows• Measure methane production in high and low feeding efficiency cows
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Results from Recent Ellinbank Research
Methane production from dairy cows invivo (chambers)
400
425
450
475
500
525
Control BrewersGrains
ColdpressedCanola
HominyMeal
Dietary Treatment
Met
han
e(g
/co
w/d
ay)
Influence of duration of fatsupplementation on methane production
by dairy cows (chambers)
400
425
450
475
500
525
Control3 weeks
Fat3 weeks
Fat7 weeks
Fat10 weeks
TreatmentM
etha
ne(g
/cow
/day
)
aa
bb
b b bab
Moate and Williams 2009
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High and Low Methane producingCows
Moate et al. 2009
20
22
24
26
28
30
Control Hominy Brewers CP_Canola
Met
han
e(g
met
han
e/k
gD
Min
take
)
Low
High
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0
100
200
300
400
500
600
700
0 25 50 75
Intake of DHA (g/cow/day)
Met
han
e(g
/co
w/d
ay)
Influence of supplementation with DHA on emissions ofmethane by dairy cows in respiration chambers
Moate and Williams 2010
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Thanks to my collaborators:Teagasc-Moorepark - Matthew DeightonTeagsac-Grange - Padraig O'KielyAFBI Hillsborough - Tianhai YanUCD - Tommy BolandAgResearch NZ - Simone HoskinDPI Ellinbank Victoria - Peter Moate